Thinking about your goal of improving how people evaluate randomized trials, a powerful way to gain attention and avoid a similar fate to Sheps’s work would be to apply it to produce a surprising and useful result that would otherwise not be possible. An equally good approach might be to use it to overturn what is currently conventional wisdom by reinterpreting the existing data to show it actually proves the opposite of what has currently been concluded.
I don’t know enough about the relevant fields to make any recommendations in that area, but maybe another reader here will have some suggestions. I think asking for suggestions in the wider EA community might also be a good approach since folks working on global poverty, for example, may already know a problem where your approach would be useful.
Thinking about your goal of improving how people evaluate randomized trials, a powerful way to gain attention and avoid a similar fate to Sheps’s work would be to apply it to produce a surprising and useful result that would otherwise not be possible. An equally good approach might be to use it to overturn what is currently conventional wisdom by reinterpreting the existing data to show it actually proves the opposite of what has currently been concluded.
I don’t know enough about the relevant fields to make any recommendations in that area, but maybe another reader here will have some suggestions. I think asking for suggestions in the wider EA community might also be a good approach since folks working on global poverty, for example, may already know a problem where your approach would be useful.